Organizing Committee
Abstract

Today's computational and experimental paradigms feature complex models along with disparate and, frequently, enormous data sets. This necessitates the development of theoretical and computational strategies for efficient and robust numerical algorithms that effectively resolve the important features and characteristics of these complex computational models. The desiderata for resolving the underlying model features is often application-specific and combines mathematical tasks like approximation, prediction, calibration, design, and optimization. Running simulations that fully account for the variability of the complexities of modern scientific models can be infeasible due to the curse of dimensionality, chaotic behavior or dynamics, and/or overwhelming streams of informative data.

This semester program focuses on both theoretical investigation and practical algorithm development for reduction in the complexity - the dimension, the degrees of freedom, the data - arising in these models. The four broad thrusts of the program are (1) Mathematics of reduced order models, (2) Algorithms for approximation and complexity reduction, (3) Computational statistics and data-driven techniques, and (4) Application-specific design. The particular topics include classical strategies such as parametric sensitivity analysis and best approximations, mature but active topics like principal component analysis and information-based complexity, and promising nascent topics such as layered neural networks and high-dimensional statistics.

This program will integrate diverse fields of mathematical analysis, statistical sciences, data and computer science, and specifically attract researchers working on model order reduction, data-driven model calibration and simplification, computations and approximations in high dimensions, and data-intensive uncertainty quantification. Various workshops will be designed to stimulate interaction between these research areas and establish cross-disciplinary collaboration. Investigation and assimilation of complementary approaches through other program events will achieve cross-fertilization and serve as a nexus for multiple research communities.

Confirmed Speakers & Participants

  • Speaker
  • Poster Presenter
  • Attendee
  • Thanos Antoulas
    Rice University
    Feb 16-22, 2020
  • Selin Aslan
    Argonne National Laboratory
    Mar 22-28, 2020
  • Brian Avants
    Penn Image Computing and Science Laboratory at UPenn
    Jan 27-May 1, 2020
  • Christopher Beattie
    Virginia Tech
    Jan 27-May 1, 2020
  • Amina Benaceur
    MIT
    Feb 16-22, 2020
  • Peter Benner
    Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
    Jan 27-May 1, 2020
  • Liliana Borcea
    University of Michigan
    Apr 19-25, 2020
  • Tamara Broderick
    Massachusetts Institute of Technology
    Apr 19-25, 2020
  • Steve Brunton
    University of Washington
    Mar 22-28, 2020
  • Kevin Carlberg
    Sandia National Laboratories
    Feb 16-22, 2020; Mar 22-28, 2020
  • Peter Challenor
    University of Exeter
    Apr 19-25, 2020
  • Yanlai Chen
    University of Massachusetts, Dartmouth
    Jan 27-May 1, 2020
  • Francisco Chinesta
    ENSAM
    Mar 22-28, 2020
  • Paul Constantine
    Colorado School of Mines
    Jan 27-May 1, 2020
  • Wolfgang Dahmen
    University of South Carolina
    Feb 16-22, 2020
  • Gregory Darnell
    Princeton University
    Jan 27-May 1, 2020
  • Ronald DeVore
    Texas A&M University
    Jan 27-May 1, 2020
  • Vladimir Druskin
    Worcester Polytechnic Institute
    Jan 27-May 1, 2020
  • Karthik Duraisamy
    University of Michigan
    Mar 22-28, 2020
  • Virginie Ehrlacher
    CERMICS – ENPC
    Feb 16-22, 2020
  • Charbel Farhat
    Stanford University
    Mar 22-28, 2020
  • Heike Faßbender
    Technische Universität Braunschweig
    Feb 16-22, 2020
  • Roger Ghanem
    University of Southern California
    Mar 22-28, 2020
  • Mark Girolami
    University of Cambridge
    Apr 19-25, 2020
  • Pawan Goyal
    MPI Magdeburg
    Feb 16-22, 2020
  • Carmen Gräßle
    Universität Hamburg
    Feb 16-22, 2020
  • Laura Grigori
    INRIA Paris
    Mar 22-28, 2020
  • Serkan Gugercin
    Virginia Tech
    Jan 27-May 1, 2020
  • Diane Guignard
    Texas A&M University
    Feb 16-22, 2020
  • Bernard Haasdonk
    University of Stuttgart
    Mar 22-28, 2020
  • Matthias Heinkenschloss
    Rice University
    Feb 16-22, 2020
  • Jan Hesthaven
    Ecole Polytechnique Federale de Lausanne
    Apr 19-25, 2020
  • Lior Horesh
    IBM Research
    Mar 22-28, 2020
  • Xiaozhe Hu
    Tufts University
    Jan 27-May 1, 2020
  • Laura Iapichino
    TU Eindhoven
    Feb 16-22, 2020
  • Traian Iliescu
    Virginia Tech
    Mar 22-28, 2020
  • Ilse Ipsen
    North Carolina State University
    Mar 22-28, 2020
  • Eurika Kaiser
    University of Washington
    Jan 27-May 1, 2020
  • Misha Kilmer
    Tufts University
    Mar 22-28, 2020
  • Boris Krämer
    MIT
    Feb 16-22, 2020
  • J. Nathan Kutz
    University of Washington
    Apr 19-25, 2020
  • Pierre Ladeveze
    École Normale Supérieure Paris-Saclay
    Mar 22-28, 2020
  • Fengyan Li
    Rensselaer Polytechinic Institute
    Jan 27-May 1, 2020
  • Lexin Li
    University of California, Berkeley
    Apr 19-25, 2020
  • Po-Ling Loh
    University of Wisconsin - Madison
    Apr 19-25, 2020
  • Mauro Maggioni
    Johns Hopkins University
    Apr 19-25, 2020
  • Caleb Magruder
    Tufts University
    Feb 16-22, 2020
  • Michael Mahoney
    University of California, Berkeley
    Apr 19-25, 2020
  • Youssef Marzouk
    Massachusetts Institute of Technology
    Jan 27-May 1, 2020
  • Volker Mehrmann
    TU Berlin
    Feb 16-22, 2020
  • Shari Moskow
    Drexel University
    Apr 19-25, 2020
  • Olga Mula
    Paris Dauphine University
    Jan 27-May 1, 2020
  • Akil Narayan
    University of Utah
    Jan 27-May 1, 2020; Mar 22-28, 2020
  • Anthony Nouy
    Ecole Centrale Nantes
    Feb 16-22, 2020
  • Davide Palitta
    Max Planck Institute for Dynamics of Complex Technical Systems
    Jan 27-May 1, 2020
  • Anthony Patera
    MIT
    Feb 17-21, 2020; Mar 23-27, 2020
  • Benjamin Peherstorfer
    New York University
    Jan 27-May 1, 2020
  • Paris Perdikaris
    University of Pennsylvania
    Apr 19-25, 2020
  • Sara Pollock
    University of Florida
    Mar 22-28, 2020
  • Annalisa Quaini
    University of Houston
    Mar 22-28, 2020
  • Jeffrey Regier
    University of California, Berkeley
    Apr 19-25, 2020
  • Rosemary Renaut
    Arizona State University
    Jan 27-May 1, 2020
  • Abel Rodriguez
    University of California, Santa Cruz
    Jan 27-May 1, 2020
  • Gianluigi Rozza
    SISSA – International School for Advanced Studies
    Mar 22-28, 2020
  • Arvind Saibaba
    North Carolina State University
    Mar 22-28, 2020
  • Michael Schneier
    University of Pittsburgh
    Jan 27-May 1, 2020
  • Babak Shahbaba
    University of California - Irvine
    Apr 19-25, 2020
  • Kathrin Smetana
    University of Twente
    Mar 22-28, 2020
  • Benjamin Stamm
    RWTH Aachen University
    Jan 27-May 1, 2020
  • Jemima Tabeart
    University of Reading
    Jan 27-May 1, 2020
  • Daniel Tartakovsky
    Stanford University
    Jan 27-May 1, 2020
  • Giang Tran
    University of Waterloo
    Apr 19-25, 2020
  • Daniele Venturi
    University of California, Santa Cruz
    Jan 27-May 1, 2020
  • Karen Veroy-Grepl
    RWTH Aachen University
    Feb 16-22, 2020; Mar 22-28, 2020; Apr 19-25, 2020
  • Zhu Wang
    University of South Carolina
    Jan 27-May 1, 2020
  • Min Wang
    Texas A&M University
    Jan 27-May 1, 2020
  • Jonathan Weare
    Courant Institute, New York University
    Apr 19-25, 2020
  • Karen Willcox
    UT Austin
    Feb 16-22, 2020
  • Masayuki Yano
    University of Toronto
    Mar 22-28, 2020

Visit dates listed on the participant list may be tentative and subject to change without notice.

Application Information

ICERM welcomes applications from faculty, postdocs, graduate students, industry scientists, and other researchers who wish to participate in one of our semester-long programs. Some funding may be available for travel and lodging. Applications will be accepted up until the start of the semester program and will be considered as long as funds and space are available.

Any graduate student who applies should have research interests that relate to the program topic; a statement of support from the advisor is required. In addition, graduate students will only be considered if they can remain in-residence for a minimum of six weeks.

Postdoctoral Fellowships

Interested in applying for a salaried postdoc position for this program? Applications are accepted via Mathjobs.org (search under “B” for Brown University/ICERM) between June and December in the year prior to the program’s start date.

Your Visit to ICERM

ICERM Facilities
ICERM is located on the 10th & 11th floors of 121 South Main Street in Providence, Rhode Island. ICERM's business hours are 8:30am - 5:00pm during this event. See our facilities page for more info about ICERM and Brown's available facilities.
Traveling to ICERM
ICERM is located at Brown University in Providence, Rhode Island. Providence's T.F. Green Airport (15 minutes south) and Boston's Logan Airport (1 hour north) are the closest airports. Providence is also on Amtrak's Northeast Corridor. In-depth directions and transportation information are available on our travel page.
Lodging/Housing
Visiting ICERM for longer than a week-long workshop? ICERM staff works with participants to locate accommodations that fit their needs. Since short-term furnished housing is in very high demand, take advantage of the housing options ICERM may recommend. Contact housing@icerm.brown.edu for more details.
Childcare/Schools
Those traveling with family who are interested in information about childcare and/or schools should contact housing@icerm.brown.edu.
Technology Resources
Wireless internet access and wireless printing is available for all ICERM visitors. Eduroam is available for members of participating institutions. Thin clients in all offices and common areas provide open access to a web browser, SSH terminal, and printing capability. See our Technology Resources page for setup instructions and to learn about all available technology.
Discrimination and Harassment Policy
ICERM is committed to creating a safe, professional, and welcoming environment that benefits from the diversity and experiences of all its participants. The Brown University "Discrimination and Workplace Harassment Policy" applies to all ICERM participants and staff. Participants with concerns or requests for assistance on a discrimination or harassment issue should contact the ICERM Director, who is the responsible employee at ICERM under this policy.
Exploring Providence
Providence's world-renowned culinary scene provides ample options for lunch and dinner. Neighborhoods near campus, including College Hill Historic District, have many local attractions. Check out the map on our Explore Providence page to see what's near ICERM.

Visa Information

Contact visa@icerm.brown.edu for assistance.

Need a US Visa?
J-1 visa requested via ICERM staff
Reimbursable
B-1 or Visa Waiver Business (WB) –if you already have either visa – contact ICERM staff for a visa specific invitation letter.
Not Reimbursable
B-2 or Visa Waiver Tourist (WT)
Already in the US?

F-1 and J-1 not sponsored by ICERM: obtain a letter approving reimbursement from the International Office of your home institution PRIOR to travel.

H-1B holders do not need letter of approval.

All other visas: alert ICERM staff immediately about your situation.

Financial Support

Acceptable Costs
  • 1 roundtrip between your home institute and ICERM
  • Flights on U.S. or E.U. airlines – economy class to either Providence airport (PVD) or Boston airport (BOS)
  • Ground Transportation to and from airports and ICERM.
Unacceptable Costs
  • Flights on non-U.S. or non-E.U. airlines
  • Flights on U.K. airlines
  • Seats in economy plus, business class, or first class
  • Change ticket fees of any kind
  • Multi-use bus passes
  • Meals or incidentals
Advance Approval Required
  • Personal car travel to ICERM from outside New England
  • Multiple-destination plane ticket; does not include layovers to reach ICERM
  • Arriving or departing from ICERM more than a day before or day after the program
  • Multiple trips to ICERM
  • Rental car to/from ICERM
  • Flights on a Swiss, Japanese, or Australian airlines
  • Arriving or departing from airport other than PVD/BOS or home institution's local airport
  • 2 one-way plane tickets to create a roundtrip (often purchased from Expedia, Orbitz, etc.)
Reimbursement Request Form

https://icerm.brown.edu/money/

Refer to the back of your ID badge for more information. Checklists are available at the front desk.

Reimbursement Tips
  • Scanned original receipts are required for all expenses
  • Airfare receipt must show full itinerary and payment
  • ICERM does not offer per diem or meal reimbursement
  • Allowable mileage is reimbursed at prevailing IRS Business Rate and trip documented via pdf of Google Maps result
  • Keep all documentation until you receive your reimbursement!
Reimbursement Timing

6 - 8 weeks after all documentation is sent to ICERM. All reimbursement requests are reviewed by numerous central offices at Brown who may request additional documentation.

Reimbursement Deadline

Submissions must be received within 30 days of ICERM departure to avoid applicable taxes. Submissions after thirty days will incur applicable taxes. No submissions are accepted more than six months after the program end.

Associated Semester Workshops

Mathematics of Reduced Order Models
Computational Statistics and Data-Driven Models